Reliable Index Research Articles

Carbon dioxide and methane fluxes in the growing and non-growing season in the Dajiuhu subtropical peatland: A five-year measurement using the eddy covariance technique

Peatlands present substantial terrestrial carbon reservoirs actively engaged in land-atmosphere carbon exchanges. Ongoing variations in carbon dynamics, attributed to global climate change, underscore the necessity of elucidating the connections between carbon fluxes and meteorological parameters. Limited studies have delved into disparities in carbon fluxes and the mechanisms mediating them during growing and non-growing seasons on a long-term scale, particularly in subtropical peatlands. Consequently, this study utilized the eddy covariance technique in the Dajiuhu peatland to investigate five-year CH4 and CO2 fluxes, longside meteorological characteristics. The Dajiuhu peatland functioned as a CO2 sink and CH4 source, ultimately serving as a carbon sink. A substantial portion of the annual fluxes was measured during the non-growing season, with elevated CO2 uptake and CH4 emission during the growing season. Further analyses revealed that photosynthetically active radiation (PAR), soil temperature (Ts), air temperature (Ta), and soil water content (SWC) were critical environmental parameters influencing fluctuations in CO2 and CH4 fluxes. Two distinct controlling pathways for CO2 fluxes were identified. In the growing season, PAR emerged as the most influential factor in CO2 flux variations, and increasing Ts weakened CO2 absorption by decreasing SWC. During the non-growing season, Ts emerged as the most influential factor in CO2 exchanges, with lower Ts leading to decreased CO2 uptake. Additionally, CH4 flux variations were significantly regulated by PAR and Ts in both periods. The results illustrated that vascular plants played a pivotal role in the dynamics of carbon between peatlands and the atmosphere. Furthermore, it was discovered that the Dajiuhu peatland contributed to mitigating global warming in both the short and long term, with SGWP identified as a more reliable evaluation index. Our findings underscore the essential ecological function of the Dajiuhu subtropical peatland and provide a theoretical foundation for scientifically managing carbon in natural subtropical peatlands.

Creating territorialized sustainability indices to evaluate pollination

CONTEXTIdentifying sustainable practices and landscape features that enhance the abundance of organisms providing ecosystem services can be challenging due to a limited understanding of the link between these practices and ecosystem functioning. One approach to assessing system complexity is to incorporate reliable indices that are markers of an essential ecosystem regulation service such as insect pollination. OBJECTIVEConsolidate indicators of sustainable farming practices and landscape features into two indices that consider different spatial scales (regional and local) to categorize peri-urban farms within two gradients of territorialized environmental sustainability. These indices enable the assessment of agroecosystem sustainability for a particular ecosystem service (insect pollination), which is critical for many crops. METHODSThe regional-scale index utilized four indicators of composition and configuration that reflected the landscape's heterogeneity and its influence on key resources and bee movement. For these features, we used three land classes: semi-natural, farm, and extensive crops within a 3000-m radius circle from the centre of the farm. The local-scale index included eight indicators relating to the sustainability of farming practices derived from semi-structured interviews with the farmers. Additionally, we included an indicator based on the extent of semi-natural areas within a 100-m radius circle. RESULTS AND CONCLUSIONSBoth indices generated a synthesis to obtain two gradients (regional and local) of territorialized environmental sustainability for the farms. We validated these metrics through records of bee abundance on Cucurbita maxima flowers in each farm, as an indicator of the bee-pollination service. The variations of regional and local indices among and within the same farm (e.g., a high local-scale index and a low regional-scale index) emphasize the importance of considering both spatial contexts when evaluating ecosystem services. Both indices correlated with bee abundance, with the local-scale index exhibiting a positive stronger correlation than the regional (0.68 vs. 0.61 respectively). For farmers, making changes to farming practices at the local scale is more achievable than altering features at the regional scale, where government territorial planning and coordinated efforts among residents in the area are required. Consequently, enhancing a local-scale practice might be a more feasible way to increase farm sustainability. SIGNIFICANCEThe indices will enable a more straightforward comparison of sustainability among farms or within the same farm over time than analyzing each socio-environmental metric separately. Following the methodology proposed here, other indices for other essential ecosystem services in agroecosystems could be developed.

Measuring quality of life in Europe: A new fuzzy multicriteria approach

Quality of life indicators include measures of both objective and subjective well-being to broaden the traditional income-focused view towards a multidimensional view of welfare. In this paper, we develop a single reliable composite index employing fuzzy mathematical modelling that considers the effect of uncertainty and imprecision related to the specific nature of the phenomenon being measured. Additionally, we suggest a procedure for incorporating this new way of assigning priorities through multicriteria techniques. To this end, we propose a new multicriteria approach that introduces the recent notion of picture fuzzy sets to deal with uncertainty and imprecision in the assessment of objective and subjective dimensions of quality-of-life performance. To verify the effectiveness of the whole approach and the credibility of the results, we show its application for monitoring the quality of life in the European Union. Our results show that fuzzy numbers can be a useful tool when combined with multicriteria techniques in the prioritization phase of the criteria and that they increase the quality and reliability of the overall aggregate indicator. Furthermore, through statistical measures we found that in a picture environment the results are consistent regardless of the multi-criteria approach used to provide a final classification.

Pilot evaluation of a self-help ACT intervention for palliative care patients

This pilot study evaluates the feasibility and efficacy of a brief (four-week) predominantly self-help acceptance and commitment therapy (ACT) intervention (“Full Palliative Living”) in improving palliative patient primary outcomes (death attitudes, distress, pain, and quality of life) and a secondary outcome psychological flexibility (PF) within a palliative care (PC) setting. A quasi-experimental non-equivalent group design was used with pre- and post-intervention assessments with two groups: intervention (n = 52) and comparison (n = 54). Across three sets of analyses (mixed within/between ANCOVAs, intervention group t-tests and reliable change index), results demonstrated beneficial intervention effects for distress and PF at post-intervention. Mediation analyses showed that increases in PF mediated improvements in distress. Feasibility of delivering the intervention in a frontline PC service was supported by intervention acceptability and adherence ratings, intervention engagement, and participants’ perceptions of intervention helpfulness. The intervention effects on distress are noteworthy given the high prevalence of distress and the self-reported prioritisation of help-seeking for distress among PC patients. The Full Palliative Living program has the potential to make a significant contribution to a holistic approach to PC.

Nottingham prognostic x (NPx): a risk stratification tool in ER-positive HER2-negative breast cancer: a validation study.

In this study, we validate the use of Nottingham Prognostic x (NPx), consisting of tumour size, tumour grade, progesterone receptor (PR) and Ki67 in luminal BC. Two large cohorts of luminal early-stage BC (n = 2864) were included. PR and Ki67 expression were assessed using full-face resection samples using immunohistochemistry. NPx was calculated and correlated with clinical variables and outcome, together with Oncotype DX recurrence score (RS), that is frequently used as a risk stratifier in luminal BC. In the whole cohort, 38% of patients were classified as high risk using NPx which showed significant association with parameters characteristics of aggressive tumour behaviour and shorter survival (P < 0.0001). NPx classified the moderate Nottingham Prognostic Index (NPI) risk group (n = 1812) into two distinct prognostic subgroups. Of the 82% low-risk group, only 3.8% developed events. Contrasting this, 14% of the high-risk patients developed events during follow-up. A strong association was observed between NPx and Oncotype Dx RS (P < 0.0001), where 66% of patients with intermediate risk RS who had subsequent distant metastases also had a high-risk NPx. NPx is a reliable prognostic index in patients with luminal early-stage BC, and in selected patients may be used to guide adjuvant chemotherapy recommendations.

Compaction quality assessment of highway using roller-integrated positive maximum kinetic energy increment detection technique

During conventional highway construction, quality control and acceptance (QC/QA) are based on limited spot tests of material density at random locations which may not comprehensively represent the entire compacted area and are vulnerable to potential biases. Based on roller-integrated positive maximum kinetic energy increment detection technique with real-time kinematic global positioning systems, this research adopted kinetic energy compaction value (KECV) as a real-time monitoring index for the highway compaction quality, and subsequently proposed an KECV-based assessment method to estimate the compaction quality of subgrade and pavement materials. Additionally, a global interpolation method (Green spline) was adopted to obtain estimates for both KECVs and compaction quality at any location on the work area, enabling the analysis of the passing rate of compaction quality for the entire work area. A case study on the Hengyong highway project in China indicates a highly linear correlation between the KECV and the compaction parameters, the compactness of LLL silt, and the relative density of cement-stabilized macadam; therefore, it can serve as a reliable index for monitoring compaction quality. Assessment of compaction quality on the entire work area can be fast and continuously achieved using the proposed method, which can effectively overcome the above limitation of conventional testing, timely feedback compaction information to avoid quality defects, and availably improve the construction quality of highways.

Study of Time-Resolved Dynamics in Turbid Medium Using a Single-Cavity Dual-Comb Laser.

In measuring cerebral blood flow (CBF) noninvasively using optical techniques, diffusing-wave spectroscopy is often combined with near-infrared spectroscopy to obtain a reliable blood flow index. Measuring the blood flow index at a determined depth remains the ultimate goal. In this study, we present a simple approach using dual-comb lasers where we simultaneously measure the absorption coefficient (μa), the reduced scattering coefficient (μs '), and dynamic properties. This system can also effectively differentiate dynamics from various depths, which is crucial for analyzing multilayer dynamics. For CBF measurements, this capability is particularly valuable as it helps mitigate the influence of the scalp and skull, thereby enhancing the specificity of deep tissue.

Usefulness of health checkup-based indices in identifying metabolic dysfunction-associated steatotic liver disease.

The application of indices in the context of metabolic dysfunction-associated steatotic liver disease (MASLD) remains unexplored. We aimed to validate the ability of alanine aminotransferase (ALT), fatty liver index (FLI), and hepatic steatosis index (HSI) to identify MASLD during health checkups. We recruited 627 participants and utilized their health checkup data and ultrasound to assess the potential of using ALT, FLI, and HSI as indices for MASLD; this was indicated by the area under the curve (AUC) and restricted cubic spline (RCS) model. The optimal, rule-out (sensitivity ≥90%), and rule-in (specificity ≥90%) cutoff values of each index for identifying MASLD were reported. Among participants with a median age of 46 years, the prevalence of MASLD was 28% in total (38% in males and 18% in females). RCS models confirmed a linear association between indices and MASLD. ROC analyses indicated that the AUC of ALT in identifying MASLD was 0.79 for the total cohort, 0.81 for males, and 0.69 for females. The optimal, rule-out, and rule-in cutoff values for ALT were 21, 13, and 29, respectively. Similarly, the AUC of FLI/HSI in identifying MASLD was 0.90/0.88 for the total cohort, 0.86/0.85 for males, and 0.93/0.90 for females. Considering the reference cutoff values, distinct cutoff values were observed between the sexes for FLI, while HSI had similar cutoff values. This study demonstrated that ALT > 30 IU/L is a reasonable cutoff value to rule-in MASLD. ALT, FLI, and HSI are reliable indices for identifying MASLD during health checkups.

Chemotherapy-induced gut microbiome disruption, inflammation, and cognitive decline in female patients with breast cancer

Chemotherapy is notorious for causing behavioral side effects (e.g., cognitive decline). Notably, the gut microbiome has recently been reported to communicate with the brain to affect behavior, including cognition. Thus, the aim of this clinical longitudinal observational study was to determine whether chemotherapy-induced disruption of the gut microbial community structure relates to cognitive decline and circulating inflammatory signals. Fecal samples, blood, and cognitive measures were collected from 77 patients with breast cancer before, during, and after chemotherapy. Chemotherapy altered the gut microbiome community structure and increased circulating TNF-α. Both the chemotherapy-induced changes in microbial relative abundance and decreased microbial diversity were related to elevated circulating pro-inflammatory cytokines TNF-α and IL-6. Participants reported subjective cognitive decline during chemotherapy, which was not related to changes in the gut microbiome or inflammatory markers. In contrast, a decrease in overall objective cognition was related to a decrease in microbial diversity, independent of circulating cytokines. Stratification of subjects, via a reliable change index based on 4 objective cognitive tests, identified objective cognitive decline in 35% of the subjects. Based on a differential microbial abundance analysis, those characterized by cognitive decline had unique taxonomic shifts (Faecalibacterium, Bacteroides, Fusicatenibacter, Erysipelotrichaceae UCG-003, and Subdoligranulum) over chemotherapy treatment compared to those without cognitive decline. Taken together, gut microbiome change was associated with cognitive decline during chemotherapy, independent of chemotherapy-induced inflammation. These results suggest that microbiome-related strategies may be useful for predicting and preventing behavioral side effects of chemotherapy.

Unveiling Inequality: Mapping Asset Disparities in Azad Jammu and Kashmir (Pakistan)

The main objectives of this study are to construct a valid and reliable asset index at the household level for 10 districts of Azad Jammu and Kashmir (AJK) by using Multiple Indicators Cluster Survey micro-data and to estimate economic disparities by calculating Gini-coefficient and Palma Ratio. The asset index is considered a better estimate than expenditures or current household income to gauge a household’s living standard and its potential resilience to deal with economic shocks. The dimensional structure of assets is assessed by applying Exploratory Factor Analysis (EFA) and Tetrachoric Principal Component Analysis (PCA). Further, this paper has applied Classical Test Theory (CTT) and Item Response Theory (IRT) to ensure the reliability of the household-based asset index. Furthermore, the Gini-coefficient and Palma ratios are estimated by using the composite household-based asset index to estimate economic disparities in all 10 districts of AJK. The dimensional structure of assets, reliability, and validity analysis suggest to use 21 assets (out of 30 items) to construct the household-based asset index. The nine items (assets) are excluded from the analysis to avoid systematic errors and random errors. The results show that districts Bhimber and Mirpur have achieved the highest average asset scores, which are 0.62 and 0.64 respectively. The score of the Gini-coefficient index and the Palma ratio analyses shows that the asset distribution in the districts Neelum and Haveli are highly unequal. The Gini-coefficient is highly responsive to midpoint distribution while the Palma ratio concentrates more on top and bottom distribution, and it ignores the middle 50 percent from the analysis. Interestingly, both approaches have produced similar district rank ordering because we have adopted a systematic process for construct validity and reliability to minimize measurement errors.

Oxygen venous saturation is associated with subclinical myocardial systolic dysfunction in patients with end-stage renal disease undergoing hemodialysis.

The aim of this prospective study was to evaluate the impact of hemodialysis (HD) on myocardial injury, of both right and left ventricle function as well as their association with venous oxygen saturation (ScvO2) alterations. We included in the study stable consecutive patients with end-stage renal disease (ESRD) undergoing regular HD. Right and left ventricular speckle-tracking echocardiographies were performed in all patients. The examination calculates the global systolic longitudinal strain (GLS). Blood samples were obtained from the central vein in order to measure the O2 saturation (ScvO2) levels prior and post HD. High sensitive troponin (HST) was also measured in all patients before and after HD. Thirty seven patients were evaluated. We found that both mean ScvO2 and left ventricle GLS (LV GLS) were deteriorated after the dialysis session: 76.47 ±1.98 to 71.54 ±5.10, p < 0.05 and -17.73 ±3.44 to -14.21 ±3.44%, p < 0.01, respectively. HST levels were increased at the end of hemodialysis, 22.45 ±13.26 to 106.78 ±146.19 pg/ml, p < 0.01. A significant correlation was also found between the decrease of LV GLS with the ScvO2 reduction, p = 0.001, as well as with the increase of the HST levels, p = 0.001. Our data demonstrate that there is a significant worsening of the GLS of the left ventricle at the end of the dialysis, which is strongly associated with the concomitant deterioration of ScvO2. The may be a reliable index of circulatory stress indicating a subclinical myocardial dysfunction during HD.

A neuropsychological profile for high-grade primary central nervous system neuroendocrine tumor (CNS NET): a single-case study.

Objective: Neuroendocrine tumors (NETs) are neoplasms that primarily occur in the lungs, appendix, small intestine, pancreas, and rectum, and typically metastasize to the liver or lymph nodes. However, in rare cases NETs can originate in the central nervous system (CNS). Understanding primary CNS NET neuropsychological manifestations aids in recommendations for neurocognitive follow-up, treatment and lifestyle planning, and future research. Method: Given the dearth of neuropsychological research for CNS NETs, we present a case seen in a 43-year-old woman. Results: Initial and 8-month follow-up neuropsychological evaluations of the patient revealed a Major Neurocognitive Disorder where the pattern of findings was consistent with tumor location and additional treatment-related factors. Reliable change indices at her re-evaluation revealed declines in verbal and visual memory, with statistical, yet not clinical, improvements in different domains. Follow-up monitoring of comprehensive care continued to occur after neuropsychological evaluations. Conclusions: This case study assists in the characterization of initial and follow-up neuropsychological presentation of a primary CNS NET, where evaluations helped inform clinical care and functional recommendations. This case demonstrates the importance for neuropsychologists to have awareness of various conditions, even rare conditions, which can inform a systematic approach to research and clinical care with neuro-oncological populations.

Psychometric properties of the Spanish version of the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE-OM) in Chile

Objective To examine the psychometric properties of the Spanish version of the 34-item Clinical Outcomes in Routine Evaluation—Outcome Measure questionnaire (CORE-OM). Method Psychometric exploration was conducted in two samples: non-clinical (n = 706) and clinical (n = 420) participants. The non-clinical sample comprised a subgroup of community members (n = 308) and students (n = 398). The clinical sample consisted of self-reported patients (n = 209) and outpatients (n = 211). The analysis included both internal and test-retest reliability, convergent validity, and principal component analysis. A reliable change index and clinical cut-off scores were established for assessing clinically significant change. Results The Spanish CORE-OM demonstrated good internal consistency and test-retest reliability, along with satisfactory convergent validity against the 45-item Outcome Questionnaire (OQ-45.2). There were strong differentiations between the clinical and non-clinical samples and the four sample subsets. The outpatient group reported the highest scores, while the community group exhibited the lowest scores. There were no marked gender effects. All observed patterns aligned closely with the established Spanish referential data. Conclusion Our findings provide support for the utilization of the Spanish CORE-OM as a measure for tracking psychotherapeutic progress in the context of Chile.

Phacoemulsification in angle-closure glaucoma: A 360° evaluation.

To evaluate the effect of phacoemulsification on intraocular pressure (IOP) and anterior chamber angle (ACA) morphology in primary angle-closure glaucoma (PACG). A hospital-based, prospective pre- and post-interventional study was carried out in 40 PAC and PACG eyes post patent PI with visually significant cataracts. All patients underwent phacoemulsification and were evaluated for IOP control, ACA widening, and disease progression for a minimum of 6 months. Failure was defined as an IOP of >21 mmHg necessitating another intervention, including trabeculectomy and/or an increase in the required number of antiglaucoma medications (AGMs) by >1. A highly statistically significant reduction of IOP ( P < 0.0001) was seen with an overall reduction of 42.2% over 6 months and a mean reduction of 8.9 ± 3.59 mmHg, with the requirement of AGMs reducing from 39/40 patients preoperatively to 1/38 postoperatively. Success was seen in 95% of cases, with two patients not achieving target IOP and requiring trabeculectomy. Angle widening was documented in all cases by both gonioscopy and AS-OCT, and none of the patients showed any progression in disc damage and visual field changes. Early cataract surgery in ACG not only helps to control IOP and disease progression by widening angles and improving aqueous outflow but also improves visual acuity and reduces the economic burden of AGMs. It also helps in better evaluation of disease progression by both structural and functional analysis, as was documented by the improved and more reliable visual field indices.

The threat sensitivity scale: A brief self-report measure of dispositional sensitivity toward perceiving threats to physical harm.

The possibility of experiencing physical harm caused by an object, animal, or person is an omnipresent risk in almost any situation. People show variability in their in the propensity to perceive the possibility of harm from any ostensibly innocuous object or situation-a so-called threat bias. Despite the important psychological and societal consequences resulting from individual differences in physical threat bias, there does not currently exist an easily administered means to capture this disposition. We therefore endeavored to create a brief reliable self-report index of threat sensitivity for use by the many fields interested in the role of threat processing. We present here a physical threat sensitivity scale (TSS) that captures the dispositional tendency to perceive the possibility of physical harm in ostensibly innocuous situations or objects. We detail the development and validation of the TSS as a reliable index of individual threat bias (Studies 1a and 1b) and provide strong convergent evidence of the relationship between TS and both relevant individual differences (Study 2) and behavioral and perceptual indicates of threat bias (Study 3 and Study 4).

A novel discriminant algorithm for differential diagnosis of mild to moderate thalassemia and iron deficiency anemia.

Mild to moderate thalassemia trait (TT) and iron deficiency anemia (IDA) are the most common conditions of microcytic hypochromic anemia (MHA) and they exhibit highly similar clinical and laboratory features. It is sometimes difficult to make a differential diagnosis between TT and IDA in clinical practice. Therefore, a simple, effective, and reliable index is needed to discriminate between TT and IDA. Data of 598 patients (320 for TT and 278 for IDA) were enrolled and randomly assigned to training set (278 of 598, 70%) and validation set (320 of 598, 30%). Stepwise discriminant analysis was used to define the best diagnostic formula for the discrimination between TT and IDA in training set. The accuracy and diagnostic performance of formula was tested and verified by receiver operating characteristic (ROC) analysis in validation set and its diagnostic performance was compared with other published indices. A novel formula, Thalassemia and IDA Discrimination Index (TIDI) = -13.932 + 0.434 × RBC + 0.033 × Hb + 0.025 ×MCHC + 53.593 × RET%, was developed to discriminate TT from IDA. TIDI showed a high discrimination performance in ROC analysis, with the Area Under the Curve (AUC) = 0.936, Youden' s index = 78.7%, sensitivity = 89.5%, specificity = 89.2%, respectively. Furthermore, the formula index also obtained a good classification performance in distinguishing 5 common genotypes of TT from IDA (AUC from 0.854-0.987). The new, simple algorithm can be used as an effective and robust tool for the differential diagnosis of mild to moderate TT and IDA in Guangxi region, China.

Impact of a mindfulness-based intervention on neurobehavioral functioning and its association with large-scale brain networks in preterm young adolescents.

Adolescents born very preterm (VPT; <32 weeks of gestation) face an elevated risk of executive, behavioral, and socioemotional difficulties. Evidence suggests beneficial effects of mindfulness-based intervention (MBI) on these abilities. This study seeks to investigate the association between the effects of MBI on executive, behavioral, and socioemotional functioning and reliable changes in large-scale brain networks dynamics during rest in VPT young adolescents who completed an 8-week MBI program. Neurobehavioral assessments and resting-state functional magnetic resonance imaging were performed before and after MBI in 32 VPT young adolescents. Neurobehavioral abilities in VPT participants were compared with full-term controls. In the VPT group, dynamic functional connectivity was extracted by using the innovation-driven coactivation patterns framework. The reliable change index was used to quantify change after MBI. A multivariate data-driven approach was used to explore associations between MBI-related changes on neurobehavioral measures and temporal brain dynamics. Compared with term-born controls, VPT adolescents showed reduced executive and socioemotional functioning before MBI. After MBI, a significant improvement was observed for all measures that were previously reduced in the VPT group. The increase in executive functioning, only, was associated with reliable changes in the duration of activation of large-scale brain networks, including frontolimbic, amygdala-hippocampus, dorsolateral prefrontal, and visual networks. The improvement in executive functioning after an MBI was associated with reliable changes in large-scale brain network dynamics during rest. These changes encompassed frontolimbic, amygdala-hippocampus, dorsolateral prefrontal, and visual networks that are related to different executive processes including self-regulation, attentional control, and attentional awareness of relevant sensory stimuli.

Evaluation of systemic inflammatory indices in the diagnosis of early onset neonatal sepsis in very low birth weight infants.

Previously, not six systemic inflammatory indices were evaluated in the diagnosis of early onset sepsis (EOS) in very low birth weight (VLBW, <1500g) premature infants. We evaluated the effectiveness of systemic inflammatory indices in the diagnosis of EOS in VLBW infants. Premature infants with birth weight <1500 g were included in the study. Six systemic inflammatory indices including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), pan-immune-inflammation value (PIV), and systemic inflammation response index (SIRI) were compared in patients with EOS (treatment group) and without EOS (control group). Of 917 infants enrolled, 204 infants were in the EOS group and 713 infants comprised the control group. NLR, MLR and SIRI values were significantly higher in the EOS group than in the control group (p < 0.001). The AUC value of SIRI for the predictivity of EOS was 0.803. The SIRI can be used together with other parameters as both an easily accessible and the reliable systemic inflammatory indices in the diagnosis of EOS in VLBW preterm infants.

Children’s health-related quality of life in early childhood education and care

ABSTRACT Studies focusing on young children’s self-reported health-related quality of life (HRQoL) are scarce. More research is needed on the reliability and validity of the methods as well as how self-reported HRQoL in early childhood is linked to other well-being factors. Using the Kiddy-KINDL questionnaire in interviews with 245 3- to 6-year-old children this study investigated how children view their quality of life in Swedish speaking early childhood education and care in Finland, how reliably it can be assessed, and how it relates to age, gender, parent-reported socioeconomic background, and teacher-reported psychological well-being. The results showed that only the social-emotional scale consisting of eight items was a reliable index of HRQoL. The correlation over time in the 12-week follow-up was significant, but small, which may reflect children’s here and now thinking. Children’s poorer self-reported social-emotional well-being was associated with externalizing problems as reported by the teachers. Older children and children from highly educated families reported better social-emotional well-being.

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework

Categorizing Artificial Intelligence of Medical Things (AIoMT) devices within the realm of standard Internet of Things (IoT) and Internet of Medical Things (IoMT) devices, particularly at the server and computational layers, poses a formidable challenge. In this paper, we present a novel methodology for categorizing AIoMT devices through the application of decentralized processing, referred to as "Federated Learning" (FL). Our approach involves deploying a system on standard IoT devices and labeled IoMT devices for training purposes and attribute extraction. Through this process, we extract and map the interconnected attributes from a global federated cum aggression server. The aim of this terminology is to extract interdependent devices via federated learning, ensuring data privacy and adherence to operational policies. Consequently, a global training dataset repository is coordinated to establish a centralized indexing and synchronization knowledge repository. The categorization process employs generic labels for devices transmitting medical data through regular communication channels. We evaluate our proposed methodology across a variety of IoT, IoMT, and AIoMT devices, demonstrating effective classification and labeling. Our technique yields a reliable categorization index for facilitating efficient access and optimization of medical devices within global servers.